Data Mining - Mehmed Kantardzic [263]
Gallaghar, R. S., Computer Visualization: Graphics Techniques for Scientific and Engineering Analysis, CRC Press, Boca Raton, 1995.
The book is a complete reference book on computer-graphic techniques for scientific and engineering visualization. It explains the basic methods applied in different fields to support an understanding of complex, volumetric, multidimensional, and time-dependent data. The practical computational aspects of visualization such as user interface, database architecture, and interaction with a model are also analyzed.
Spence, R., Information Visualization, Addison Wesley, Harlow, England, 2001.
This is the first fully integrated book on the emerging discipline of information visualization. Its emphasis is on real-world examples and applications of computer-generated interactive information visualization. The author also explains how these methods for visualizing information support rapid learning and accurate decision making.
Tufte, E. R., Beautiful Evidence, 2nd edition, Graphic Press, LLC, Cheshire, CT, 2007.
Beautiful Evidence is a masterpiece from a pioneer in the field of data visualization. It is not often an iconoclast comes along, trashes the old ways, and replaces them with an irresistible new interpretation. By teasing out the sublime from the seemingly mundane world of charts, graphs, and tables, Tufte has proven to a generation of graphic designers that great thinking begets great presentation. In Beautiful Evidence, his fourth work on analytical design, Tufte digs more deeply into art and science to reveal very old connections between truth and beauty—all the way from Galileo to Google.
APPENDIX A
This summary of some recognized journals, conferences, blog sites, data-mining tools, and data sets is being provided to help readers to communicate with other users of data-mining technology, and to receive information about trends and new applications in the field. It could be especially useful for students who are starting to work in data mining and trying to find appropriate information or solve current class-oriented tasks. This list is not intended to endorse any specific Web site, and the reader has to be aware that this is only a small sample of possible resources on the Internet.
A.1 DATA-MINING JOURNALS
1. Data Mining and Knowledge Discovery (DMKD)
http://www.kluweronline.com/issn/1384-5810/
DMKD is a premier technical publication in the Knowledge Discovery and Data Mining (KDD) field, providing a resource collecting common relevant methods and techniques and a forum for unifying the diverse constituent research communities. The journal publishes original technical papers in both the research and practice of data mining and knowledge discovery surveys and tutorials of important areas and techniques, and detailed descriptions of significant applications. The scope of DMKD includes (1) theory and foundational issues including data and knowledge representation, uncertainty management, algorithmic complexity, and statistics over massive data sets; (2) data mining methods such as classification, clustering, probabilistic modeling, prediction and estimation, dependency analysis, search, and optimization; (3) algorithms for spatial, textual, and multimedia data mining, scalability to large databases, parallel and distributed data-mining techniques, and automated discovery agents; (4) knowledge discovery process including data preprocessing, evaluating, consolidating, and explaining discovered knowledge, data and knowledge visualization, and interactive data exploration and discovery; and (5) application issues such as application case studies, data-mining systems and tools, details of successes and failures of KDD, resource/knowledge discovery on the Web, and privacy and security.
2. IEEE Transactions on Knowledge and Data Engineering (TKDE)
http://www.computer.org/tkde/